https://github.com/bhattbhavesh91/lasso-regression-python

This repository shows how Lasso Regression selects correlated predictors
https://github.com/bhattbhavesh91/lasso-regression-python

dataset lasso-regression linear-regression multicollinearity python regularization

Last synced: 6 months ago
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This repository shows how Lasso Regression selects correlated predictors

• Host: GitHub
• URL: https://github.com/bhattbhavesh91/lasso-regression-python
• Owner: bhattbhavesh91
• License: gpl-3.0
• Created: 2019-12-07T07:22:15.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2021-05-29T13:11:28.000Z (over 4 years ago)
• Last Synced: 2025-03-29T06:11:20.470Z (6 months ago)
• Topics: dataset, lasso-regression, linear-regression, multicollinearity, python, regularization
• Language: Jupyter Notebook
• Homepage:
• Size: 50.8 KB
• Stars: 6
• Watchers: 4
• Forks: 7
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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README

          
# Eliminate Multicollinearity from your Dataset using Lasso regression (Regularization)

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